Cargando…

Practical approach to prevent COVID-19 infection at breast cancer screening

BACKGROUND: The novel coronavirus disease 2019 (COVID-19) undermines the benefits of cancer screening. To date, no study has identified specific infection control methods. We aimed to provide practical methods for COVID-19 risk reduction during breast cancer screening mammography (MMG) by examining...

Descripción completa

Detalles Bibliográficos
Autores principales: Takada, Mamoru, Tanaka, Gaku, Hashimoto, Hideyuki, Hirai, Yasuyuki, Fukushima, Taichi, Nagashima, Takeshi, Otsuka, Masayuki, Imazeki, Fumio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8018689/
https://www.ncbi.nlm.nih.gov/pubmed/33811286
http://dx.doi.org/10.1007/s12282-021-01235-y
_version_ 1783674243860398080
author Takada, Mamoru
Tanaka, Gaku
Hashimoto, Hideyuki
Hirai, Yasuyuki
Fukushima, Taichi
Nagashima, Takeshi
Otsuka, Masayuki
Imazeki, Fumio
author_facet Takada, Mamoru
Tanaka, Gaku
Hashimoto, Hideyuki
Hirai, Yasuyuki
Fukushima, Taichi
Nagashima, Takeshi
Otsuka, Masayuki
Imazeki, Fumio
author_sort Takada, Mamoru
collection PubMed
description BACKGROUND: The novel coronavirus disease 2019 (COVID-19) undermines the benefits of cancer screening. To date, no study has identified specific infection control methods. We aimed to provide practical methods for COVID-19 risk reduction during breast cancer screening mammography (MMG) by examining an overview of potential contamination routes of aerosols and possible risks for patients and health care providers. METHODS: Computational fluid dynamics (CFD) simulations were conducted for airflow and aerosol dispersion in a 3D virtual model of a mobile MMG laboratory room. This model was constructed based on the actual mobile screening MMG bus ‘Cosmos’ in the Chiba Foundation for Health Promotion & Disease Prevention. Examiner and patient geometries were obtained by scanning an actual human using a 3D Scanner. Contamination of the room was evaluated by counting the numbers of suspended and deposited aerosols. RESULTS: We applied the CFD simulation model to the exhalation of small or large aerosols from a patient and examiner in the MMG laboratory. Only 14.5% and 54.5% of large and small aerosols, respectively, were discharged out of the room with two doors open. In contrast, the proportion of large and small aerosols discharged out of the room increased to 96.6% and 97.9%, respectively, with the addition of forced gentle wind by the blower fan. This simulation was verified by a mist aerosol experiment conducted in the mobile MMG laboratory. CONCLUSION: Adding forced ventilation to a MMG laboratory with two doors open may enable risk reduction dramatically. This could be applied to other clinical situations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12282-021-01235-y.
format Online
Article
Text
id pubmed-8018689
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Springer Singapore
record_format MEDLINE/PubMed
spelling pubmed-80186892021-04-06 Practical approach to prevent COVID-19 infection at breast cancer screening Takada, Mamoru Tanaka, Gaku Hashimoto, Hideyuki Hirai, Yasuyuki Fukushima, Taichi Nagashima, Takeshi Otsuka, Masayuki Imazeki, Fumio Breast Cancer Original Article BACKGROUND: The novel coronavirus disease 2019 (COVID-19) undermines the benefits of cancer screening. To date, no study has identified specific infection control methods. We aimed to provide practical methods for COVID-19 risk reduction during breast cancer screening mammography (MMG) by examining an overview of potential contamination routes of aerosols and possible risks for patients and health care providers. METHODS: Computational fluid dynamics (CFD) simulations were conducted for airflow and aerosol dispersion in a 3D virtual model of a mobile MMG laboratory room. This model was constructed based on the actual mobile screening MMG bus ‘Cosmos’ in the Chiba Foundation for Health Promotion & Disease Prevention. Examiner and patient geometries were obtained by scanning an actual human using a 3D Scanner. Contamination of the room was evaluated by counting the numbers of suspended and deposited aerosols. RESULTS: We applied the CFD simulation model to the exhalation of small or large aerosols from a patient and examiner in the MMG laboratory. Only 14.5% and 54.5% of large and small aerosols, respectively, were discharged out of the room with two doors open. In contrast, the proportion of large and small aerosols discharged out of the room increased to 96.6% and 97.9%, respectively, with the addition of forced gentle wind by the blower fan. This simulation was verified by a mist aerosol experiment conducted in the mobile MMG laboratory. CONCLUSION: Adding forced ventilation to a MMG laboratory with two doors open may enable risk reduction dramatically. This could be applied to other clinical situations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12282-021-01235-y. Springer Singapore 2021-04-02 2021 /pmc/articles/PMC8018689/ /pubmed/33811286 http://dx.doi.org/10.1007/s12282-021-01235-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Takada, Mamoru
Tanaka, Gaku
Hashimoto, Hideyuki
Hirai, Yasuyuki
Fukushima, Taichi
Nagashima, Takeshi
Otsuka, Masayuki
Imazeki, Fumio
Practical approach to prevent COVID-19 infection at breast cancer screening
title Practical approach to prevent COVID-19 infection at breast cancer screening
title_full Practical approach to prevent COVID-19 infection at breast cancer screening
title_fullStr Practical approach to prevent COVID-19 infection at breast cancer screening
title_full_unstemmed Practical approach to prevent COVID-19 infection at breast cancer screening
title_short Practical approach to prevent COVID-19 infection at breast cancer screening
title_sort practical approach to prevent covid-19 infection at breast cancer screening
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8018689/
https://www.ncbi.nlm.nih.gov/pubmed/33811286
http://dx.doi.org/10.1007/s12282-021-01235-y
work_keys_str_mv AT takadamamoru practicalapproachtopreventcovid19infectionatbreastcancerscreening
AT tanakagaku practicalapproachtopreventcovid19infectionatbreastcancerscreening
AT hashimotohideyuki practicalapproachtopreventcovid19infectionatbreastcancerscreening
AT hiraiyasuyuki practicalapproachtopreventcovid19infectionatbreastcancerscreening
AT fukushimataichi practicalapproachtopreventcovid19infectionatbreastcancerscreening
AT nagashimatakeshi practicalapproachtopreventcovid19infectionatbreastcancerscreening
AT otsukamasayuki practicalapproachtopreventcovid19infectionatbreastcancerscreening
AT imazekifumio practicalapproachtopreventcovid19infectionatbreastcancerscreening